Publications by authors named "L G Manco"

Purpose: Adaptive radiotherapy (ART) may improve treatment quality by monitoring variations in patient anatomy and incorporating them into the treatment plan. This systematic review investigated the role of artificial intelligence (AI) in computed tomography (CT)-based ART for head and neck (H&N) cancer.

Methods: A comprehensive search of main electronic databases was conducted until April 2024.

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Article Synopsis
  • The study aimed to create machine learning models to predict pathological complete response (pCR) in breast cancer patients after neoadjuvant chemotherapy using data from FDG PET/CT scans.
  • 52 newly diagnosed breast cancer patients had their tumors and lymph node metastases segmented, and various features, both clinical and radiomic, were collected and analyzed.
  • The results indicated that models using radiomic features from PET scans, particularly when including data from lymph nodes, performed better in predicting pCR compared to those based on clinical or CT data alone.
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Kruppel-like factor 1 (KLF1) is an essential erythroid-specific transcription factor. Several reports have shown that gene mutations are associated with increased levels of Hb F and Hb A. However, scarce population studies have analysed common variations.

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Unlabelled: Oligometastatic patients at [F]F-Fluorocholine (F-choline) PET/CT may be treated with metastasis-directed therapy (MDT). The aim of this study was to combine radiomic parameters extracted from F-choline PET/CT and clinical data to build machine learning (ML) models able to predict MDT efficacy.

Methods: Oligorecurrent patients (≤5 lesions) at F-choline PET/CT and treated with MDT were collected.

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Purpose: In stereotactic body radiation therapy (SBRT) for prostate cancer, intrafraction motion is an important source of treatment uncertainty as it could not be completely smoothed through fractionation. Herein, we compared different arrangements and beam qualities for extreme hypofractionated treatments to minimize beam delivery time and so intrafractional errors.

Methods: A retrospective dataset of 11 patients was used.

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